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dreamiurg

Datadog MCP Server

by dreamiurg

aggregate_network_connections

Aggregate network connection analytics using customizable grouping and filters to analyze traffic patterns and performance.

Instructions

Aggregate network connection analytics with grouping and filtering

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filter_fromNo
filter_toNo
filter_queryNo
group_byNo
aggregateNo
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It only states the core function (aggregation with grouping/filtering) but does not reveal whether the tool is read-only, has side effects, rate limits, or any operational constraints. This is insufficient for safe invocation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise at one sentence, but this brevity sacrifices necessary detail. It is front-loaded with key action and resource, but lacks structure for multiple aspects. For a tool with 5 parameters, more substance is warranted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of annotations and output schema, the description should provide richer context. It fails to explain return format, aggregation types, valid filter fields, or grouping behavior, leaving significant gaps for complete understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 5 parameters with 0% description coverage, and the tool description adds no parameter details. It mentions 'grouping and filtering' which hints at 'group_by' and filter parameters, but without explaining valid values, formats, or semantics, the agent cannot correctly formulate arguments.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool aggregates network connection analytics, differentiating it from sibling aggregation tools like 'aggregate-logs' and 'aggregate-rum-events' that operate on different data types. The verb 'aggregate' and resource 'network connection analytics' are specific, though 'analytics' is somewhat vague.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus other aggregation tools or alternatives. The description does not mention prerequisites, context, or limitations, leaving the agent to infer usage without decision support.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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